Long‐term safety of risankizumab from 17 clinical trials in patients with moderate‐to‐severe plaque psoriasis*
Bibliographic record
Abstract
BACKGROUND: Risankizumab has demonstrated efficacy and safety in patients with moderate-to-severe plaque psoriasis in randomized clinical trials. OBJECTIVES: To evaluate safety data from risankizumab psoriasis phase I-III clinical trials. METHODS: Short-term safety (through week 16) was analysed using integrated data from five phase II and III clinical trials. Long-term safety was evaluated using integrated data from 17 phase I-III completed and ongoing trials. RESULTS: Short-term safety analyses included 1306 patients receiving risankizumab 150 mg and 300 patients receiving placebo [402·2 and 92·0 patient-years (PY) of exposure, respectively]. Long-term analyses included 3072 risankizumab-treated patients (exposure: 7927 PY). The median (excluding four outliers) treatment duration was 2·9 years (range 2 days to 5·9 years). Exposure-adjusted adverse event rates did not increase with long-term treatment (318 vs. 171 events per 100 PY for short- and long-term analyses). With long-term risankizumab treatment, rates of serious adverse events were 7·8 per 100 PY, serious infections 1·2 per 100 PY, nonmelanoma skin cancer (NMSC) 0·7 per 100 PY, malignant tumours excluding NMSC 0·5 per 100 PY, and adjudicated major adverse cardiovascular events 0·3 per 100 PY, with no important identified risks. Limitations include that the study inclusion and exclusion criteria varied and that three studies enrolled ≤ 50 patients. CONCLUSIONS: Risankizumab demonstrated a favourable safety profile over short- and long-term treatment in patients with moderate-to-severe psoriasis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".